devtools

geo-aeo-tracker: Local‑first AI brand monitoring dashboard

Founder can see how their brand appears across six major AI models in a secure, offline dashboard built with TypeScript.

From the repo · “Open-source AI visibility tracker. Track how ChatGPT, Perplexity, Gemini, Copilot and Google AI Mode mention and cite your brand. Self-hosted, MIT, bring your own keys.”

intermediate⏱ 30 minutes💵 Free (self-hosted)
304 stars+11★ this week73 forksTypeScriptGuide quality 9/10 · reviewed Oct 16Updated 10/19/2026100% free · open source
What it is

Track the visibility of your brand across 6 AI models with a free dashboard.

Real use case example

"A founder like Alex, who just launched a new e-commerce store, uses geo-aeo-tracker to create a dashboard that tracks brand mentions on Gemini, ChatGPT, and Copilot in real-time. Alex sets up a script to regularly fetch and display the mentions, and can filter by sentiment and language to understand how their brand is being perceived. Alex can now quickly address any negative brand mentions and respond to customers."

Best insideAny AI Client
When to use it
  • •When you need to monitor your brand's presence in multiple AI models
  • •When you want to understand how your brand is perceived by different AI algorithms
  • •When you need a self-hosted, private solution for tracking AI model visibility
Ready-to-paste prompt
npm run start && open http://localhost:3000/dashboard?url=https://example.com
Heads up: Make sure you have Node.js (version 16 or higher) and npm installed on your system before attempting to install and run geo-aeo-tracker
Saves to your device
Use with Claude
New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

🛠️ Technical setup

Expect 20–40 minutes in a terminal — or let your AI agent drive it.

Try it instantly — no install
Claude Code
mkdir -p ~/.claude/skills/geo-aeo-tracker && curl -fsSL https://workflowstacks.com/api/skills/geo-aeo-tracker/claude-skill -o ~/.claude/skills/geo-aeo-tracker/SKILL.md
Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)
claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

How geo-aeo-tracker: Local‑first AI brand monitoring dashboard works
Codeflow
Free to inspect

Geo-aeo-tracker: Local‑first AI brand monitoring dashboard is a large TypeScript project (~16k lines across 83 code files, plus 1 test files). It is a full software project: use it through its install path rather than reading it end to end. Last commit this month, MIT license, has a test suite.

Size
Large codebase
~16k lines · 83 code files · ~2 h to skim
Setup
Developer setup
A real software project. Use it via its install path; don't expect to read it all.
Runs on
Node.js
Needs API keys (.env)
TypeScript 97%JavaScript 1%CSS 1%
Where to start reading
  1. 1
    README.md
    Start here — what it does and how to install it
  2. 2
    AGENTS.md
    The instructions the AI actually follows
  3. 3
    package.json
    Dependencies and the commands it exposes
  4. 4
    .env.example
    The API keys and settings you must provide
  5. 5
    lib/agent-discovery.test.ts
    Inside lib/ — the main logic begins here
What's in each folder
lib/Core code — the actual logic39 files
app/Core code — the actual logic21 files
components/Frontend / UI16 files
scripts/Helper scripts4 files
supabase/Folder1 files
public/Images & static assets6 files
.github/CI / automation (GitHub Actions)1 files
tests/Tests — proof it works1 files
READMEHas testsDocumentedNo CIMIT licenseUpdated this month
Quick Actions
Details
Creator
danishashko
Language
TypeScript
Category
devtools
Published
2/14/2026

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Featured on WorkflowStacks
[![Featured on WorkflowStacks](https://workflowstacks.com/api/badge/geo-aeo-tracker.svg)](https://workflowstacks.com/skills/geo-aeo-tracker?utm_source=github&utm_medium=badge)
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